Involuntary psychiatric treatment during the COVID-19 pandemic. An international qualitative study

Background: During the COVID-19 pandemic, studies report that in the first few months of the lockdown there was a decrease in requests for mandatory psychiatric treatment, while, in contrast, following the second wave, the number of cases increased. This study investigates the use of compulsory psychiatric treatments internationally in the first and subsequent phases of the pandemic. Methods: Sixteen key people were interviewed: eight mental health care professionals and eight scholars in Italy, Greece, China and Chile. Participants were asked to discuss their experience of the motivations, diagnoses and management of patients undergoing an involuntary psychiatric hospitalization. Results: The analysis through Grounded Theory highlighted four themes: (a) the culture of psychiatric care services, (b) the effect of the pandemic on involuntary hospitalizations, (c) exceptional management of hospitalization, and (d) policies and suggestions for more inclusive mental health treatments. Conclusion: During the first wave, respondents reported a decrease in the use of involuntary treatments, while a gradual increase was seen in the following months. Italy extended compulsory psychiatric treatment to a group of new users, including young people and adolescents with acute crises; in other contexts, the main users are chronic psychiatric patients

Staff members’ experience of Italian shelters for LGBTQIA+ homeless and runaway people: an exploratory study

Background: Some LGBTQIA+ people, after coming out, experience marginalization and homelessness due to rejection and discrimination from their family and community. The increase in support requests led to the creation of LGBTQIA+ temporary shelter homes worldwide. This study aims to explore the functioning and effectiveness of shelters, analyzing the experiences of staff members in Italy. Methods: Focus groups were held with a total of 15 staff members (age range: 32–53) working in three shelters for LGBTQIA+ people. Data were analyzed qualitatively through the grounded theory methodology. Results: Data coding showed five final core categories: (1) user characteristics; (2) staff characteristics; (3) community relations; (4) activities carried out by services; (5) criteria for intervention assessment and staff satisfaction. Results revealed some criticalities in the effectiveness of these services, particularly the difficulty in achieving autonomy for users, a weakness attributable to the non-exhaustive training of staff members and the funding discontinuity. Conclusion: To improve the efficacy of shelters, this study emphasizes the necessity to (a) carry out an analysis of the vulnerability of the local LGBTQIA+ community, (b) establish a stable network with local services (NHS system), and (c) implement staff members’ psychological training

Emotional textual analysis

Emotional Textual Analysis (ETA) analyzes the symbolic level of texts as a part of applied research and interventions. The method is based on the study of the association of dense words, words that convey most of the emotional components of texts. In this approach, language is thought of as an organizer of the relationship between the individual contributor of the text and his or her context, rather than as a detector of the individual’s emotions. A case example shows the use of ETA, with the assistance of specific software, in analyzing the interviews of the inhabitants of a city suburb with respect to their expectations of fulfillment and development in relation to perceived local opportunities

Gender Identity Milestones, Minority Stress and Mental Health in Three Generational Cohorts of Italian Binary and Nonbinary Transgender People

Transgender and gender nonconforming (TGNC) people experience high rates of minority stress and associated risk for negative health outcomes. However, during the last years, significant positive socio-cultural changes have happened, and younger cohorts of TGNC individuals are having diverse experiences compared to older cohorts. By integrating the minority stress theory and the life course perspective, this cross-sectional, web-based study aimed to explore in 197 Italian TGNC people aged 18 to 54 years (M = 29.82, SD = 9.64) whether the average ages of gender identity milestones (i.e., first insights about being TGNC, self-labeling as a TGNC person, and coming out), minority stress, and mental health vary among three generational cohorts (i.e., Generation Z, Millennials, and Generation X). Compared with older cohorts, younger participants: (a) were more likely to be in the trans-masculine spectrum; (b) self-labeled as TGNC and came out earlier; (c) had more negative expectations and lower levels of disclosure; and (d) had higher levels of mental health problems. No generational differences related to first insights about being TGNC and distal minority stressors were found. Furthermore, compared with binary individuals, participants with a non-binary identity: (a) reported later ages for the gender identity milestones; (b) had higher negative expectations; and (c) had higher levels of mental health problems. Overall, our findings indicated that changes in the social environments have a limited impact on stigmatization processes and mental health of Italian TGNC people

Energy-overlap of the Dirac surface state with bulk bands in SnBi2Te4

Topological insulators in which the Fermi level is in the bulk gap and intersects only a topological surface state (the Dirac cone) are of special interest in the current research. In the last decades, a fine-tuning of the chemical composition of topological insulators has been carefully explored in order to control the Fermi level position with respect to the Dirac surface state. Taking the SnBi 2 Te 4 crystal as a case study, we provide a characterization of its electronic structure by means of angle-resolved photoemission spectroscopy and first-principles calculations. We show that, going away from the Brillouin zone center, bulk band states energetically overlap with the Dirac cone at the Fermi level, thus providing an unwanted as well as hidden contribution to the transport properties of the material. In addition, the comparison between experimental results of the band structure with state-of-the-art simulations, implemented taking into account the number of defects, leads to useful insights on the existing limits in the description of this material.This research was supported in part by the Proget to STAR2(PIR01-00008) of the Italian Ministry of Education, University, and Research.We acknowledge EUROFEL-ROADMAP ESFRI of the Italian Ministry of Education, University, and Research. The density functional theory calculations were supported by the government research assignment for ISPMS SB RAS, Project No. FWRW-20220001. E.V.C. acknowledges support from Saint Petersburg State University (ProjectIDNo.94031444).Peer reviewe

A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease

Background: Mechanisms of myocardial ischemia in obstructive and non-obstructive coronary artery disease (CAD), and the interplay between clinical, functional, biological and psycho-social features, are still far to be fully elucidated. Objectives: To develop a machine-learning (ML) model for the supervised prediction of obstructive versus non-obstructive CAD. Methods: From the EVA study, we analysed adults hospitalized for IHD undergoing conventional coronary angiography (CCA). Non-obstructive CAD was defined by a stenosis < 50% in one or more vessels. Baseline clinical and psycho-socio-cultural characteristics were used for computing a Rockwood and Mitnitski frailty index, and a gender score according to GENESIS-PRAXY methodology. Serum concentration of inflammatory cytokines was measured with a multiplex flow cytometry assay. Through an XGBoost classifier combined with an explainable artificial intelligence tool (SHAP), we identified the most influential features in discriminating obstructive versus non-obstructive CAD. Results: Among the overall EVA cohort (n = 509), 311 individuals (mean age 67 ± 11 years, 38% females; 67% obstructive CAD) with complete data were analysed. The ML-based model (83% accuracy and 87% precision) showed that while obstructive CAD was associated with higher frailty index, older age and a cytokine signature characterized by IL-1β, IL-12p70 and IL-33, non-obstructive CAD was associated with a higher gender score (i.e., social characteristics traditionally ascribed to women) and with a cytokine signature characterized by IL-18, IL-8, IL-23. Conclusions: Integrating clinical, biological, and psycho-social features, we have optimized a sex- and gender-unbiased model that discriminates obstructive and non-obstructive CAD. Further mechanistic studies will shed light on the biological plausibility of these associations. Clinical trial registration: NCT02737982

Beta-Blocker Use in Older Hospitalized Patients Affected by Heart Failure and Chronic Obstructive Pulmonary Disease: An Italian Survey From the REPOSI Register

Beta (β)-blockers (BB) are useful in reducing morbidity and mortality in patients with heart failure (HF) and concomitant chronic obstructive pulmonary disease (COPD). Nevertheless, the use of BBs could induce bronchoconstriction due to β2-blockade. For this reason, both the ESC and GOLD guidelines strongly suggest the use of selective β1-BB in patients with HF and COPD. However, low adherence to guidelines was observed in multiple clinical settings. The aim of the study was to investigate the BBs use in older patients affected by HF and COPD, recorded in the REPOSI register. Of 942 patients affected by HF, 47.1% were treated with BBs. The use of BBs was significantly lower in patients with HF and COPD than in patients affected by HF alone, both at admission and at discharge (admission, 36.9% vs. 51.3%; discharge, 38.0% vs. 51.7%). In addition, no further BB users were found at discharge. The probability to being treated with a BB was significantly lower in patients with HF also affected by COPD (adj. OR, 95% CI: 0.50, 0.37-0.67), while the diagnosis of COPD was not associated with the choice of selective β1-BB (adj. OR, 95% CI: 1.33, 0.76-2.34). Despite clear recommendations by clinical guidelines, a significant underuse of BBs was also observed after hospital discharge. In COPD affected patients, physicians unreasonably reject BBs use, rather than choosing a β1-BB. The expected improvement of the BB prescriptions after hospitalization was not observed. A multidisciplinary approach among hospital physicians, general practitioners, and pharmacologists should be carried out for better drug management and adherence to guideline recommendations

How future surgery will benefit from SARS-COV-2-related measures: a SPIGC survey conveying the perspective of Italian surgeons

COVID-19 negatively affected surgical activity, but the potential benefits resulting from adopted measures remain unclear. The aim of this study was to evaluate the change in surgical activity and potential benefit from COVID-19 measures in perspective of Italian surgeons on behalf of SPIGC. A nationwide online survey on surgical practice before, during, and after COVID-19 pandemic was conducted in March-April 2022 (NCT:05323851). Effects of COVID-19 hospital-related measures on surgical patients' management and personal professional development across surgical specialties were explored. Data on demographics, pre-operative/peri-operative/post-operative management, and professional development were collected. Outcomes were matched with the corresponding volume. Four hundred and seventy-three respondents were included in final analysis across 14 surgical specialties. Since SARS-CoV-2 pandemic, application of telematic consultations (4.1% vs. 21.6%; p < 0.0001) and diagnostic evaluations (16.4% vs. 42.2%; p < 0.0001) increased. Elective surgical activities significantly reduced and surgeons opted more frequently for conservative management with a possible indication for elective (26.3% vs. 35.7%; p < 0.0001) or urgent (20.4% vs. 38.5%; p < 0.0001) surgery. All new COVID-related measures are perceived to be maintained in the future. Surgeons' personal education online increased from 12.6% (pre-COVID) to 86.6% (post-COVID; p < 0.0001). Online educational activities are considered a beneficial effect from COVID pandemic (56.4%). COVID-19 had a great impact on surgical specialties, with significant reduction of operation volume. However, some forced changes turned out to be benefits. Isolation measures pushed the use of telemedicine and telemetric devices for outpatient practice and favored communication for educational purposes and surgeon-patient/family communication. From the Italian surgeons' perspective, COVID-related measures will continue to influence future surgical clinical practice